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BriX: a database of protein building blocks for structural analysis, modeling and design

High-resolution structures of proteins remain the most valuable source for understanding their function in the cell and provide leads for drug design. Since the availability of sufficient protein structures to tackle complex problems such as modeling backbone moves or docking remains a problem, alte...

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Detalles Bibliográficos
Autores principales: Vanhee, Peter, Verschueren, Erik, Baeten, Lies, Stricher, Francois, Serrano, Luis, Rousseau, Frederic, Schymkowitz, Joost
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013806/
https://www.ncbi.nlm.nih.gov/pubmed/20972210
http://dx.doi.org/10.1093/nar/gkq972
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author Vanhee, Peter
Verschueren, Erik
Baeten, Lies
Stricher, Francois
Serrano, Luis
Rousseau, Frederic
Schymkowitz, Joost
author_facet Vanhee, Peter
Verschueren, Erik
Baeten, Lies
Stricher, Francois
Serrano, Luis
Rousseau, Frederic
Schymkowitz, Joost
author_sort Vanhee, Peter
collection PubMed
description High-resolution structures of proteins remain the most valuable source for understanding their function in the cell and provide leads for drug design. Since the availability of sufficient protein structures to tackle complex problems such as modeling backbone moves or docking remains a problem, alternative approaches using small, recurrent protein fragments have been employed. Here we present two databases that provide a vast resource for implementing such fragment-based strategies. The BriX database contains fragments from over 7000 non-homologous proteins from the Astral collection, segmented in lengths from 4 to 14 residues and clustered according to structural similarity, summing up to a content of 2 million fragments per length. To overcome the lack of loops classified in BriX, we constructed the Loop BriX database of non-regular structure elements, clustered according to end-to-end distance between the regular residues flanking the loop. Both databases are available online (http://brix.crg.es) and can be accessed through a user-friendly web-interface. For high-throughput queries a web-based API is provided, as well as full database downloads. In addition, two exciting applications are provided as online services: (i) user-submitted structures can be covered on the fly with BriX classes, representing putative structural variation throughout the protein and (ii) gaps or low-confidence regions in these structures can be bridged with matching fragments.
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spelling pubmed-30138062011-01-03 BriX: a database of protein building blocks for structural analysis, modeling and design Vanhee, Peter Verschueren, Erik Baeten, Lies Stricher, Francois Serrano, Luis Rousseau, Frederic Schymkowitz, Joost Nucleic Acids Res Articles High-resolution structures of proteins remain the most valuable source for understanding their function in the cell and provide leads for drug design. Since the availability of sufficient protein structures to tackle complex problems such as modeling backbone moves or docking remains a problem, alternative approaches using small, recurrent protein fragments have been employed. Here we present two databases that provide a vast resource for implementing such fragment-based strategies. The BriX database contains fragments from over 7000 non-homologous proteins from the Astral collection, segmented in lengths from 4 to 14 residues and clustered according to structural similarity, summing up to a content of 2 million fragments per length. To overcome the lack of loops classified in BriX, we constructed the Loop BriX database of non-regular structure elements, clustered according to end-to-end distance between the regular residues flanking the loop. Both databases are available online (http://brix.crg.es) and can be accessed through a user-friendly web-interface. For high-throughput queries a web-based API is provided, as well as full database downloads. In addition, two exciting applications are provided as online services: (i) user-submitted structures can be covered on the fly with BriX classes, representing putative structural variation throughout the protein and (ii) gaps or low-confidence regions in these structures can be bridged with matching fragments. Oxford University Press 2011-01 2010-10-22 /pmc/articles/PMC3013806/ /pubmed/20972210 http://dx.doi.org/10.1093/nar/gkq972 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Vanhee, Peter
Verschueren, Erik
Baeten, Lies
Stricher, Francois
Serrano, Luis
Rousseau, Frederic
Schymkowitz, Joost
BriX: a database of protein building blocks for structural analysis, modeling and design
title BriX: a database of protein building blocks for structural analysis, modeling and design
title_full BriX: a database of protein building blocks for structural analysis, modeling and design
title_fullStr BriX: a database of protein building blocks for structural analysis, modeling and design
title_full_unstemmed BriX: a database of protein building blocks for structural analysis, modeling and design
title_short BriX: a database of protein building blocks for structural analysis, modeling and design
title_sort brix: a database of protein building blocks for structural analysis, modeling and design
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013806/
https://www.ncbi.nlm.nih.gov/pubmed/20972210
http://dx.doi.org/10.1093/nar/gkq972
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